SAMSUNG ELECTRONICS CO., LTD. 960QHA
Geekbench AI Score
2317
Single Precision Score
1226
Half Precision Score
4660
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 06 2025 12:37 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 256V |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | SAMSUNG ELECTRONICS CO., LTD. 960QHA |
| Motherboard | SAMSUNG ELECTRONICS CO., LTD. NT960QHA-KC71S |
| Power Plan | SAMSUNG MODE |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 256V |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 189 Stepping 1 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1628
302.8 IPS |
|
|
Image Classification (HP)
|
100% |
508
94.6 IPS |
|
|
Image Classification (Q)
|
99% |
3880
723.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1196
19.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
846
13.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
2376
38.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2964
3.46 IPS |
|
|
Pose Estimation (HP)
|
100% |
2500
2.92 IPS |
|
|
Pose Estimation (Q)
|
94% |
11412
13.4 IPS |
|
|
Object Detection (SP)
|
100% |
1591
126.2 IPS |
|
|
Object Detection (HP)
|
100% |
608
48.3 IPS |
|
|
Object Detection (Q)
|
86% |
3821
307.1 IPS |
|
|
Face Detection (SP)
|
100% |
4645
55.2 IPS |
|
|
Face Detection (HP)
|
100% |
1569
18.6 IPS |
|
|
Face Detection (Q)
|
97% |
6484
77.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
4187
32.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1835
14.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
9798
78.2 IPS |
|
|
Style Transfer (SP)
|
100% |
7619
9.79 IPS |
|
|
Style Transfer (HP)
|
100% |
6325
8.13 IPS |
|
|
Style Transfer (Q)
|
98% |
16082
20.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1603
59.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1331
49.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3296
122.0 IPS |
|
|
Text Classification (SP)
|
100% |
1163
1.55 KIPS |
|
|
Text Classification (HP)
|
100% |
651
868.6 IPS |
|
|
Text Classification (Q)
|
97% |
1473
1.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
1764
30.4 IPS |
|
|
Machine Translation (HP)
|
100% |
745
12.8 IPS |
|
|
Machine Translation (Q)
|
65% |
2426
48.7 IPS |
